{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tz7TPQrtdSaf"
   },
   "outputs": [],
   "source": [
    "import keras\n",
    "from keras.datasets import cifar10\n",
    "from keras import backend as K\n",
    "from keras.layers import Input, Conv2D, GlobalAveragePooling2D, Dense, BatchNormalization, Activation, MaxPooling2D\n",
    "from keras.models import Model\n",
    "from keras.layers import concatenate,Dropout,Flatten\n",
    "\n",
    "from keras import optimizers,regularizers\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.initializers import he_normal\n",
    "from keras.callbacks import LearningRateScheduler, TensorBoard, ModelCheckpoint\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "uyykaS1VdWnK"
   },
   "outputs": [],
   "source": [
    "(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n",
    "\n",
    "mean = np.mean(x_train,axis=(0,1,2,3))\n",
    "std = np.std(x_train, axis=(0, 1, 2, 3))\n",
    "x_train = (x_train-mean)/(std+1e-7)\n",
    "x_test = (x_test-mean)/(std+1e-7)\n",
    "\n",
    "y_train = keras.utils.to_categorical(y_train, num_classes)\n",
    "y_test  = keras.utils.to_categorical(y_test, num_classes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 486
    },
    "colab_type": "code",
    "id": "BJDkk2rndalk",
    "outputId": "0cd698d4-cadb-42c4-ad8d-7ac62945e7c5"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cZSc5k0IkzBNhnpjjzPF04nAamcZIyYau32Dajkjm7uGBTz/9jF/9zSfsuo6f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\nA50Dw6UB9nw4XY7J03Mp5qS09f3mBl9rXejGy+W266kzNfmNIBWs//XJ7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gAAIABJREFU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jKAKiHglALYRQUV2JsTBkpUoEWYFIiIFhShAjKglCghjcMKYqwRpJjFYDViNaE6oBNGBNMIuE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\nFb8nQvAJP4SSE1OK7LZ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TJ6HOV6mjZgWtPiR95xEviCSyRuY01WYQETd4+mGoRXIprVg1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\n8vIa3yiQ9SO/FqqdBW+rpvRg0hTDzDztWa/vePe+Un6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QjfbbdKqo4lVYo3QMBLKLq2KQ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AsaRkWDnLm87yZQcbnzi5SMAxrg2RHrvK5GDrQVoMqYPcJYqpETcZJdERyGSahwp1j1nM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UDJF5oxaBNbUiSGmVoNIh7nLd43l6xWaKecKDmTYyTn0grjwjSeGc9HPrz/mWFYsbu94e7uNTe3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8xpmhBTKXWhslDIvH7zmtPlRKmZ3a4j2B27IeBMpaRIjhs1ZTAWwWHNyBCesT98RvBvyTHx\nen3kq23i7ZpY4kpMPbF0+KyWa5I2+hKpDFQZ8FZ9xa9DBalCrllzsZKpJVNzYltm5uXMsp6JOWKj\n1X1D34M4cq2knEg5/UNe0qf4A8aHPD+1NTF1HaTgrO6f7vZ7dvsdKUfWbaWWSt93dJ16z5dSiDGS\nUmJre6HOGQ7HPZ988pLnz5+zrAuvXr/ictGGSi4FHwylJKwVus5TydqgMULcVk4Pb/nKqGfr6Xzm\ncjkR44o1sMwXnPqAkmNUGFJAPchDYOgD93d7nfLu9+x3O/q+153boIW2D45cMo8GHh7P1KqF97al\nNukt9J3DW+G03/F4PvPw9i3fZWT8+0xYE/Cf1Fr/DxE5AP+7iPxPwH8I/M+11n8qIv8E+CfAf/q7\nX0pU1nuDGL6jGb6TUjT4hLz3Z7g6ztEIw9zkwQRpe68Ghh4o4FVWLGVV0pYRHOBE8MYQjGOPxRfB\n5crOCi9d4C9txwsHJzuzX8/kMrOVwpISq1FJSW6Gu+qZam7k42s3W9rEp4iQaiWVii2VoQgH8eyt\n4zmBH0rmk1zoxLevrxW81mjB+hQfS3yw8yMNLFSsgCmN0VJbB1rR5CL6XspVlQG55Js31gqolU3R\nSU1Qo+gefR3vAtZ6Soa3b8+s24Wud/zZD77Ppz/8lOf3zxEMW8qcLwvrw5nLunCeZ06Xicu6cJlW\n5mnh4XTi1euv+fqbr3j9+g3TMqtS4droqe1Ei2m7EA7vLKEl7tumkhkj6gmWr/5hoiCAK3a9ts2B\n695uzvlW3D7FRxEf5PwICoDBCKVJdlLObK17vUaH9zrpN9Y1uaA2RXKKmJrbx7X4K1Y/V3KilkQp\nEILH+Y6+D2RxbMWyJohpJqZMbvYzKSlMqdQrHVgfZ84K3nkEp4CxnElZ4UsxJeK2YRqX0CJYmldr\n8KRSyamQkiYD1hqsaXKyAsFajruBT5/f8/LZgbH3lJSYpoXTWSXMp8vMssV/0Iv5FH/Q+GDPHiPC\nrvfsx5G73Y6aI/PjhZoK62nhZM7My8R6isSpENfCfN64XCYWv+G7ARsGxDhSmonxQi6RXCfmraPU\nwtvTA7kWdoeBOzPSuyPe9vRe6fc5ZXLMiAPBE/yR7vB9XviFl7WSF/jpm/+H9dU3PK4zSSLVVGwR\nDE3uK0kZEFdythRVXZR6szWsrJSi09qaE7VE0raxrTMxLsS0EZPaUZUOrAtkIOZEzE/n5yOKD5q7\nmSv3xliM9zr9HAd8CBCh75XC23d9Y3KYtlqoVjIpbdRaCMGz3+84HFVCu24LKV0hR6oCMm1lxBjB\nBwX7HfYjy3ThnCLLMvHmTVF68LZRc8I7g7NCyYltXW7PzP0wgAghBMZhYBiV+xCCwwdH8Dph9S13\nM0agZJ3M5kRt+WnKiW3btKkjOrTYUmKLkXmeOZ0e4TvOz3dWRrXWL4Ev269PIvLPgR8A/x7w77Tf\n9s+A/+W7LhrQCjK9hFqwvr+veZUAy7tPSytW5b2CsEmflCpsoQ/ADukClqqI8ZjIW2ExwlwLK5Vi\nhN45nrvAp+LoSiVnCCKMznIXen7QeYoLeDHMG0ys/ApNkGNpiUbOCmwybbJada9V2p5tESHXSkkF\nGzPHLHwmnu97z+fB8aIKL3PmZcoca8WJodZGerXozu5TfBTxIc9PBchq4aLTGS3QSuvaXc+HGGlT\n/5boxo2YkmLLRXdBU1JZuxHdwxajEncqrOvGtEycLm8Zx8Anz1/grGM37si5crq85Zdfv+Lrt295\nnCfmuLFuG9O08Pg4cXo8czqfmeYzyzqRSkIsYLWTXbNCY6QIKWVizPhY8FYLVuctKQVSyjdPWUpt\ncnylAItYjKlNnKGvm1JqcsunCevHEh/q/IgosMhYPTuxNXFyURL1NUGgQbzEGH0v5UJOCbLgXMX7\nRqOmTVilQFPHVJSSXW4AtLZ3VJTie+21qvzXYtrOW23JiLWG4D1dCFSEGBNsK6mqcqJUqKWwrglL\nxFulL1prlOBYM5J1pebKXbj2Qcfe8/z+wGcv77k/jAiFy2Xm7eOFh8vMZd6YV93BfYqPIz7ks0cA\nR8XmjKvC4Dy70DFtZx5fv2U6nZmnmfNpJkXIG1zOC5fLwuotQz+z30fGvWccPKk4zvPMZV6Y1gvS\nTOuPxzsO+z1WAoYBsmv0XUgps8WEoVBw2HDH/pD5wU7481pI5zNx/pqf2a9xsmFNR+ctu3FgbEq8\n2mw4rn7mOaUmkaytcbWybAspbpSSVPJfCrVkSo43W6maWwPZBQWniSqDnizAP574oOensUScdXgH\n1jWgklObQWsMfdfjjK4Y5pzZtq2xcaq+/0rGWqFvgCLnLKlElnUmxg1rhf1eAUyHw467uyPjbmQc\ne/WqL4laMn3nFfjUfGuE0HgIRUGEISiwSWUVbUhosFahnePYMwzhZncIkFNskt82QEEHJpdpYp5n\ndVcp+jByTnO83U4t4LCWlDLLPGPL71Yo/P8a5YnIj4F/E/jfgM/aBQX4JTo2/64XUHjS+wVrvf7/\nezSKqjcDRG47avqjFaj2KhVuC3tGqMEhTsm/UqDWlU2Ec8k85MQ5Z4qBg3P8eRj4iXQMMTOlyJKg\n9yjpyvccfYc3hrOBh3xhMZkHDJFCLaV5jcHN4LfWGxy40Izfc8anwiHB98XxEz/wkzDyfd/xTAy7\nXOhioosRlxO05AYjTze9jzT+vudHZY0ZMupXnAukTL0VrEbfP8bcBAo5J9Z1JcaNYdC9BmohxXc0\nVGqhCwFndfNtWVcu08y8RMQIp9PEw9sTd7s7xFjOpzM///mX/N8//zmvz49sJRFzYppWLueZddlI\nKSGmYCy4oD7EW9ooW1brG0Cq1f2gNWJUDInddXR9YBg6Ysos88pcNlJS0JLuCunXZu3Vp/XXoVNP\nA9aPM/4+58cYoe/crWB1SUiK/cV6/bjK6svteVQbaTelpO+ror6p3gnVCjkDRndErVWY3rJtTNvC\nac48nDemaWXboia4YjFicNa881+VxkQAhKKTVmcx1mOco4hOboyxGOOoORNTZS4bsRXZVcA4gysW\nm4uSS5PCDZ0VOrnseyQAACAASURBVO+4O4588vLIixdHhsGzrjNvz2deP555uCxMWyKmq4frU3xs\n8ffO3WohnifOrx8JXkhlhRTZlonzaSOmzDpH4lqQ4qnZME8b25zIDpYxktZMdx/YjwO+M/CQeJwu\n5CpNTjhiDJQcVT64GlJUEn41EEtGtojURCqOGno8zznUwrN0Zl1+QWCHEMAUQhc47va8OD5jvz8g\noSOKWkiZDDVmbQq1RlJMG8ty5jyd2NYFasWYJv9v34Na2rO23SOuLIhqDA57S+Cf4uOKv3/tA9Y5\nvAtUL1jntVg1eue3ztED0RhiVL/vlBLOOWpVVwhjVMXT9QHrjNorrZmcIz447u/v8SGwPxw4Hg/c\n3x853h2a9WBCqARneXY8kpPaA6aY2LbIFjdKzs0RxRKcw5mrTWeTy4vgGm2+5EKqjXyf003FF7eo\nPuO1UMisUfNC3b0F5zxdF9jvFd45jj0+dAqlzfm7FMG/f8EqInvgvwP+41rro7xXVdVaq8hvP6ki\n8o+Bfwzw5914u3qVpuUDrVWvO631nawWY7RANe3XTT5Y2w+V/ap3XcMhKhGx/S257Z9uKUEp7I3h\nB6bjr8Oev3YDO5s5zTOvc6Qm6IHBO14Ez85YzgJfrfC6LEySWRosw9R6S7AFbtNXnYCBKzAWeF4M\n3zeev/ADP+l3/GjY8zJ0jNbiSoGYkHWFdaHGVZc/uFoWPMXHFB/i/Hhv2eaIFEFKVehQbns2VZNf\n/UMqf7oWcuum5MYxZaS3WBw1F/XlKqn5bRm6PuCdY4tK7TbOU6rw8Hjhq6++Yd+PDOOeaVp59foN\nP/v5F3z18JqEAmnWNbLMKykWhIoLBh90X7ygu3VFVLJI2wcEaTh2lbuIqVg/EroOF9zNRiTnQk66\np1samcZae7vhX0E28K7v9RQfT/yLnJ/3z86zY49r+INSodomxW2m6MbatiuatfmR1Y81RU2eq74e\npYQ2Na1sMRJTVt9gLCUXLnPk4bLweFl5vETmOZE2sFjE6jmzzrZRawUDtu1yO+duHXcMOGkfMxbb\nvO5KFUrKrDGTbMEHh7FKCLbV4nNtvqyJXDLBePa7jk9eHPj05ZHjocfawnreeLxMvHo88+Y0s6yJ\nWgVnnwjbH1t8iGdP8JbTw4Wvv3zNuq2ITUzLiWk6M6+LUqmjIMUjGfJWKGulRqFWIc6ZOEckwziM\ndKPHdpbuciHVivcDwQ1QC1ucuMwXYtbEuJZELBGJK8ksSLEkFDq2eUOSkWjuWOw9l3rHVPcka7Fh\nT9eP9GGkdyP4DqikuJHTRlxW3Wsv+rzKaWWeT8zTia3Bx1ybihlRsrg2REuTalZNS+W6zSVPDZ+P\nMD7E+dkfdrq+4ZUwb5y7qXqstbemR606MJjnmXK+4L2uqoigqyZZp6w5R1KKhOA43ilTpGLoh4H9\n4cA4DvStsFVf70rXBby1sNtRkk5w52VhWVb8pgA+qvone2NwDRyr7qMKvBQqNWdyhNoo21tUp4l5\nXtgWJQ4Xijo+1MIW3zk7GGMJITCMA+M4ErqAMe7GAarfwR/5vQpWEfHtgv3Xtdb/vn34VyLyvVrr\nlyLyPeCr3/Zna61/A/wNwL91fFZvdODrlJXrN6JRDc23ilX7fsHabGm4QliUHiotaddi1yBFmqdd\nwZTCUOFFtdxL4F9zI3/dH/irbmQMhUt1vFomLlXYZ7AVTPPnu0s9z/PCPkVc1R2kXCv+9rVBKbXR\nWfXr6KpwVw3fE8+PXM+Pu5EfDTu+N+x43vcMzmmXouqFr5unzo66GNiMammeJI0fVXyo89P3vq5z\nxFQFBUvbiVNrG8VQl9I88oxgmvx3jZHLNNGFHmfV9L1isFYpiVci3TgO9N1AzBW8w0yOFFfOl4lX\nr97w7HiPdR2g8vUtRuZpIUmmGlH5bi5qTh0jshZNxL1FRLvPzmmzyVlL571OdYvuo87LSiUjFqwz\nN/hASpUYVTosWbAAVguA2m4F2rNqKwX/0Bf0Kf6g8S96ft4/Oz/6/FgFVRPcppmiv64lgqlqAXV9\nSLf9mxSvaoFmq9SkWlvMaoETC857fNBnwWVOXKbIPEW2JZJioZbWSG3QNOccGJX0O2fYHUb2+x1i\nhHlZWbaNHCvGuFsyfLXA0d07KDFTiiBWXxOjxfd1TyplbQz5seP+MPLyeStWjZLCl23jPG+8PauF\nSC3QB8fQPRWsH1N8qGfPbuzrslRefXNmWhdsyGSZiWVDLAxdT3AjrnbkRbi8Xcimkk2FKqQtM10W\n5nnlWI/s9ke6/cgxRmIulGyIa2aZJkqszdZMFUI5zeR0JtcLtg5Igo2FUgrOVl73kWMfWIbnnLvP\nWNxrSjlj3UAWzxozMq9ILGxUYtxIy8y2LMR11V3Vkil5Y4sLcV1UKixCbvYO1rSVgVp1naXtFtYr\nGbiikLQn4N9HFR/q/Hz62ct6lf5WhxaszqrHvLXNgUS5BimqxcyyrLrOMQ4cDiNd1+kKWPMypVZ2\nu5Fx3OnE1np82yVVJZHaGy5LvO2SCrURtnVyWrMOPaTJ2XWPu7CRye25Q3uvX609r7ux1lpMNerv\nWmqb1irNuwpUUxuBW/2KU1G+yBUilXJWRZC55o2J+B1Gxr8PJViA/xL457XW//y9T/2PwH8A/NP2\n8//wXa/165mk/NpPN4nwdXrailW5TlhFGt+ogSraNEVAv+E5qxpDGmiiFqwRDs7zgzBSxOB8x190\nB34y7PnesKdLhaVaeoQ3OZJK5ZwiGEushVdSmQ2qu0YIImRrse3vTm0c7qohiGHE8kIcP7QdPwkj\nfzns+LNhz6fjyL7rCN6+e7NQqUXAGbAGcQYWAyuQnvaIPpb4kOen1krckibWGKzQ9jn1RpLf+30q\nUdcGS9k2RC4Yox52+3FHFzwh9AQv9IMaTFvvGQ97vO8Z1xX7+jWvv/laC9bXb3j54iWHu2f4LnA8\nHnl2f8dlnZm2RQmlRK7dR03u1aKmVnTftEFirLME7+iCTnRLLqzryrbOTPOiO4FG97qd0+mXdQ4X\n3A2wJkbIjaCac23QMrg2v57i44gPeX6E0ijBTeMjlVoSKRZyyeq1KpqU1lJuyac1Rt+DRqilsK0r\n0xK5XDa2WDA247zukC9bJm5QitW9P6P7p8E4vLX4NmUtFKDiveWw3/H8+TMKhfz6NecpUkrE+e7d\nv+P2o/3bqiYWKWv3W9qKjJGKFXCmWVoNgcN+YDcEIDPNZ7Z14TzNXOaV86Q2I8E5jqFjtxs+5OV7\nij9ifMizY4zFdntiLuRLxKaI7wu+C3RjYL8/sh/vcaXn8maB7Q3brFZMhdpWRiamSffZnPOErifU\nSsyFbcmc1jPbsjGdZ6Z1YV4N83wmx7c485ouHwjFg80suTLHiegSe+MIezDHZ+RnP2Y4bQyXb0gS\nWbbK23LBLwtGHKlUUtrIcSVtKynqXmrNLdGuCjM0ousx16lPM71p3Ie2gy56P0gxUlE6falPtjYf\nS3zo3K2mzFVGDqoWiykq2b1W0raxzDPzsrKukXle23sS+r6j73uMU3q8955+6Nnv9xyPB7zz+uxq\nr15KIqWNbZlZl5ltWyk5K52yVuK2sSwzy6L7r7fd08ZESaXcGqz2Og22FuM0f3Pe4ZzTZyiFbVOJ\nsw+aiykIs0DJSIlUaitSVU7vghbqpVRqcphsIQqz/d3Z2+8zYf23gX8f+L9E5P9sH/vP2sX6b0Xk\nPwL+DvhH3/lKV6lv63Hf2sfv/9oYnao6904OrGSVNkYpTdNV3q0L1NqkwQKmQZusxXeBZ7s9P6mV\n5ynineOz3Z7PhpFxHLBtGa6vBdaJBwpfxoVUI3PJfB0Xflo2LlJx1rK36hdfRAmTkYIplQ54Zhzf\nNx0/9jt+3O/50bjj+8PIi65nFwLGq3zxtrNU9aKKNdB173Z7BYhP0KWPKD7c+WkTVWyjYl/tXkTp\nuYAepSaRzW0P7/rglSZkVyDLnr4PhD5grBAzbLnguo7nL15wzJrEv339isdp4pUYvnn7lmcvX9KP\nOz799Dk/vvwA6w3fvH3g7eMjaUtIqThj8cPYOojaPEopk6LCypyzN/y58yqlLGRStsSYmKYNuJAS\ndL16kWHAd54wKG2vUFnjRl5VSVGvULYboO0pPpL4MOendYuvVF4RUV/U2iyhcm4NVdPovUra7fsA\n6Hm77rnGmFiXjXWJrJtK8Y2tiBhygVIcViydLzhbMBW80b0gbw1itZFkELwzBG/xzpDac63mRM76\neqqg0OeFrqLUG+24ov6UOResaIFspOKt4PvA0HvujjuFbJTI6THxmBfWZeXhPHM6qxQ4Z7CdZxgG\nDof9P8hFfIo/SnywZ48LgbuXnxLTTGHCd5ZhJ4wHx+E4cnf3jMPuGUTHq/LA6c2E9RabDbVmMpkt\nx2Y7Vm806y0nVeZshbhEtjkynxdOlzOnKbMsCUqgCzukjljxGBuJy8bl8opJJrwMhPE5zw4j42c/\n5vPVkL7+Ka/nr1i3B1JasKDKu6Rk71wSOTdvyKxWG9L29K7y36vSrZbS8jaVNKpvuRLDa6lqOUUl\n13y7vzzFRxEf7PzUUsjbRkm5EeIL25Sp20JByKkoHHPdyDERk/oNI5AzbFtpsl5PPwwc747sdjus\nMyzrxPkcSTE1vofmhUoWjs33/t3kv9Z6c5DQdpKqVa9eLJpDNZWec7gQ8M5jnW3NW2mKHlUlOW/w\n3hL6gLgGj6Uq2HDdQLJOjotOYCvgZo9zAalCiYk4V04UzHeoS38fSvD/yntz0G/Fv/tdf/43QnSn\nrYr89oLVGi1WrUXRovIOblS0YqcUpLxfsHKzhZFr0esdbhi4KwUXAp+niBVh7DrGPmCCa8j/SsmJ\nSRJfxIWfpZm3MXNJkSlFLiUzWwVhDBgila1kEgUDjMbyiQ38xO3418OBvxru+OHuwPNx4OAdQRQx\nre8j/VqNtkDaZRUtzL36wupV+d3muU/xL0982POjHsLONc9G1XAgpWKMJrSl0b9KvXoF13bTy6zb\nyjRPeOsakdTivaVUQVKlGwrWB4739wjCw+MDYgzLukF55NWbN3x6PtHvR16+uCfnH6odTeioFVIq\nkLWf5H2gHwasM8zLwul0ZsuTJuSuWQw0CaMCCSzWWlKypFS4XBZiKoRuxQeH85bQeyUaW2FLGzEX\nqjplUrG/Jl95io8jPtT5uVIaa9HiT5q/r5E2pW870LVeFQFC3ykB1FgHbR98WTeojUZdIKcmdRJ0\nQmsciMM5wVotfA3gDTijtgHSeAwY0Yc8hXWd1cKmkSBVj6Bnt3MWOk8USCIkI+QiFAQxFedEiY1V\nsAV85+i853gcub/b4Z3hcpm45JW0zqzrxnnaeDwtxC1jjaPve8bdyG63+wBX7Sn+FOJDPnuc8xxe\nvGRdTpTiCCFxuLMc7jr2x4HD4Y6hO5BXoesXuqGjGwPZFMhClQJOGZu5ZJZlZU0rp+nCtkZKhDhn\n1vNCnBPbJTI/zkxzAhy1H+jsDgk9loLZJvLpS+b0Bms69vuN7sUP2N0953svK3He2NYT2/qGKCuZ\nBLFQt6y0eSnkGpv0Xz9GFQwqqVfJr37tRkQVS1XBhsYYnHEYsdSisuVUMoX8jiPxFP/SxwfN3WqF\npFYvMSXWlNmoJF1OIefWxCna1Ldi8KEnoLlRSpV1TXjf0fUD47jDWMPlonvk59Mj27phxBJCp3vX\n1tx87DXXsu9WW7zFZU8pKgfOOVNzoYju0uqfsfhmWXNt0GiK1XgkNbX/z1hv8J1HvKUiOtBbtb6p\nta1yVrWCqzGxrom1i0rrTpk1q5tFin9PW5sPG604+23FqpHbrmo1FjDI9SbxXqFK1QRdcePcpMH6\nGu/+GpzF9h2DQY1zY4SasdYgTqhNoijeQhfYcsfrGvnpmvlqnVjjhqsVby2ddYqarpkiUIzgxXJn\nLJ/7gZ+EHf9Gf+SvhiN/Phy4HwaCc5haqCWqzKQKct2xvRKOb9Jm3cXFOmrXgX/yYX2K3wwR0R2F\nK5wFtDNcij6Ec2lo8auUsck4zLVrLKQUucwXasnktDGvA13nGYaOOxTT70OHgPqyGoXRXJaFN48P\nvHl84NmLZxx2Oz755AVbzmxJKXJ9P3K+TCzzqkVrCGCEbcuUXNlWJTI6Y8ldA9sYXcjPOTdoUoN0\nxEJMC8u60Q2B/WGkdwpiKlX/TEwt2ajSBAra3CpPXe6n+FaIGIz1SE1Qr+8ZLR5N62Qb3j1OjLFY\n5wmhw1hHBbYYAbVi8i7jbGm7R2qlJFbf28a4Zi2lqh+pGSsVZ4t2ooPDeX+jE0vNzJczqSUPY9+R\nsj7sTRUG7yh9UJrjpnTvXDVpoO17W2sUhrFGpMB+HLi/P9APgZw3zucL63whrSvbGpmWqNLjBD44\nhq5j6Hv6q6LhKZ7i/RBBvMdkj8kdwXl66xlcR2/7G8gv54qxhmHXs7/fI7PB5Y1CJYwdVWCaF3Kt\nLHHl4fTA6eHENiXqhha3ueKKx5aNuq2k9Ia1DKR+j9kd8Bi6OuPjWy7nX3FGeDUWjtbj3UuCs+xC\nYBCDL4VcN0pdKWukrE2ya2mqHt1VV7jTe0WrMbqG4mzzX+ZGTL2S9U1bL1CZfibXpEDBp3iKb8WV\nvpuJ5LixLAtzSmSxiA3a7GzT0atna/BBnxNGmyi6EdLWEVPifD6R0sr5/MB0uVBLpQt6/zadqB9r\nI9jbljNe1WnGKEdHijZUc4xkac2cen1eKiTK2msT593Xo7vbuppSamnMkUAslVQKeXuXyymI7Opv\nrrXQuiWWZSNYj/FtLWzLbNsHtLX5MGFug+dflwK/K1hBbrJfcrtBlHKT0t6yil/bZ5Vf35E12sE2\n3mGkgCnUpMPqUvRBbY3FUQnWEJzXsfdmcUVwRThiGMUTMXxTKo8lsxWVhdzbwA+7kb8ajvz1cMdf\njkc+70fuQoczRmUkMVNTRHcf3tny1KLSZdWPJchKMdb3q9G91qd4im+FGKEL4UaXU5kvt/2a9P+y\n92ZdrlxZft/vjDEAyLwT2VVdcqvbWvbqB3//J38LP1lLktvdUlcV6/IOmQAi4kzbD/sEMkmWWC92\nkXJjc+EmMxMZmGI4/73/w34CqQ3b3Uhjv7/p9GFpwrYu5G3hen1mfB44ng58+PABQU0mlnXT7QqE\nOBBiZFtXlnXj+fnM9bpwmGdiHDgejrx7l/Fx5JtvC0/PZz5+/J7PX76SciGnyrqubFsi94zHzTn8\nmvWkmDWoeku6kG5VtYDQO9dVDXHGOdK6bi/lxLJsrGsm54bBdcdhpcHcjS/u9dMyiLFUoU/mBdss\ntneOnddF6n5zzvcFa8AYp+7w1qq5RKmkLOSikTNNGqUpW8A5XSDQ6fgiWSeyNDAWH0bGyTNNEz4G\nWhPWTWm6tQnOOcZxoBRtynjrGH3AGkNOmXVdNIJAGsZbbPA9F1aoOVFzwhs4HWZOpwPGGJ6eN5Y1\nsVwSectsW2FZMluqYB2j94whaPaeuzdL7/XTqj1TUXLuQM1QrpB8w9sCspF9pRW9Ig3TwKFMNC+q\nT7OGGCKlVb4+PTOmhHFKhbyer3z9+JW2CmM4MM0H5nAgD7Ccn9nSmSQfqdsDpr7HSySSiCy4fKZ8\nXXn+Q+P7ZjHzFbsZUj1jTSZIoXQzpbolau4Ov0Clddf5ohNguxsXgjSDVI+1gza3jNff1UY1jWa1\nYWQwunQ1YFqjyc8vuO/1b7OstQxDIG1JowaXhTVlTIiMcyBGvc6oqVJVU6PgGCfNa7X7fma1cXq+\nPGMXodVMqQXnA8F7pmnmMB+YxrFPRRV32D4xtVYzwo2AlErzHikN49S8s6FrSDXtBFrTjFVTb0Zj\nzoKx7dZgxZjucG+xtSEpgeSbGaYux9Tk0ztIuZLWxMVYgnN4O6kvi7d4+Xl26S92dXrxBuZl0tpB\np9mtpaQbTki90YFV0/NDJ9Cbk7goH1GK3IyaoIEFcXS7qoopBdMyxjisOCZjeO8Df+dHWqj8bbQE\nMicRrIHvauVaE1aE0XjeDYF/GGb+8fDIPx4e+ffziQ/jxBw0bLcVQUqBkjEl6VieQSnOxiEWEKsg\nVgQpmwJbYzRA290pwff6aZkugjfdyVS6K7A0FfG/3FFPkN57QlAxvAGNuqhZhf49l2tZA00q8+HA\n9bry6dMXwBK80w7YMDIfTvRGMtdl5evTM8Mw3OiSD6cHpsOJIjB/+UrKma9PzyzLwnVduV4Xckq9\nr6Ruwuui9udqPlBuznEGo8/Zqda2yYtzXelRHdu6sS6JnCq10s1z1NCgSb1NmO91r9clGKoIqag+\n21pLwBKiJ7rQIwQ8sTstGmNvLvCtdNaCs8TomaZIEwXBzjdSBsHjnE77pRUqG9L04m0cWBdwvuG9\n4AMEb1XLlPbJjYBTMxfQfdoYQ/SapVo9BKdguSG44HFhUJpXa7TiMOIZguEwjcTBs6WqIe5VSMWw\nZcu2wrIKpQjDYBm9Z/Cud/Hvx869flqlZJ6/fiEYw2CgZGEpCcmZnDbG00CcBqzxyvqB3VoG49R/\nILhAypm0JvI8c3w83vK/Sy6UtRLNiDceGzxryDgjtHylNEPZvqdu3yPWQ2mYesGUC3U7s36f+NQa\n+fCEEc+yPrO0Z0Q2TE6YpM9VWkO6Q2Gl6nTIGYYxMkSHtUItmbxlct76FLZh7IizodMiXU+IaMpe\nsjqGsfv09V73+lGpxGRgi6tKBGuhpU3THoaK7/eRKioNEYMxA+M0cDoecdZ2+q42SmprnXE3MPoJ\n770aWQ5qzqSDDf8ip3zNOuuDP9OBaxcq9sGe6RNWtW+Spg7APddN6fEOmhWMaRhr8CESQ8Q4j8mF\nnLtkplRqqbSiZk/OeLwVcqvklJHaGJwlOssYdZJs/gK79K8PWLsOQLGpGsHcJq77wnu3cmxqGKM/\n02krpfTg5lcGTfruKtqX2ieXL+YrIp1yi6hrVc0gjWYs1kYigW+tIfjI76JhY8SFgsuFp5JwbeF7\ngavzxGHg78cT/9vhkX88nPh388xpGAheTS+kqsCaWvvktHR9Hd1YyfSRWJ8KI5q/Wtf+ugOm3bvc\n9/ppvRZTSFMAp6APnFFqo/P+plm4aTnl1R8b1e/QlZ9N1Knuer3y8eP3tCp8+v4L82HSSZFzTIcD\npVbEWK7rxqcvXzHGMowjGIcPUTt4td60qJg9iH1hSxsidFc5BaIp97DqVm+UYBHBO30d+6RLO9iW\nWhvrugHCtm3kXGjN3KKlqmR9beznjHvd66XM3gw0jtq0yytUmnH4YDQSIGio+TQNxDjQRFiXjbol\npeJ2B0VdfPhOG3T4UFg3odTuuaDLXFpNGFaMaXjvCAGca4hs5NybqcaxZziqU2OhlsyWkkYXeEey\nDdcC0LBkvKuIMd3oSaUx0hreGsYYmSfPEJ1Ofksi50KpQmmWXBy5OFp1OAxjCEzBE6yl1cq2pV/2\ng7rXr7JaraTrhRAHnAtQhS1pdNOyGY5t5mQscfDUKiyr0tDPywUTVMoCkFNmWzaaCPNxZIiBw2Hm\ncJjZWiIOAet00lNbptaVVq7YKsj6TF0+k8WTViGlr5RyoZYzeUlcvLDlM9U4UtpI+YlcrpSi0TW0\n2q8M2uitrYCDcZr48OEN7z+cGCdDTleevj7x5fMzl0uh5oUm4I3Hu4CzAUHPI2IEY8Ht69m7hvVe\nf7bUZyCEQAye4PX8K6VQ1o3NqGtuKmpM5kPAGBiHyOl0IIRArTposFYbLPM8Mk3jza0Xaf1ashsf\ndaNB1NOkVWXttFIoOVNSVkDZXgCtkR1H6f6s1N8XVmszhlblljoaQlCw3AcYDXOLf3rtOkxrWFHD\nQCNN4+KS8GzU2b5OO4b6ef+RXwCwCpim6nsDcjNJUQfdXddpbprVHcBWBYHd5t9Yg3TRqpqtqJ2y\naTp9NR2w2hvx2mDoE81aaEWd3XAZZyNvmuMNlhY84iNSIaXU9ayNxRjeRsdpPvIfDo/84/zA340j\nc9AMvCyN2gyuCqbnvyKd5tt1uaZ/kGqU03cm1+N7Cv019td6r3v9qDTKoirD4FXXbBfI70Cv2hdK\neWsNY3SRbaxR514bIXRXUat0reu68qePH3l6fmYcJx4eHjieDhgLW8q6OEkZ554wxrKsG/M0E4cR\n6wMNvd/z8zOlqu16CBFnl1vnTDwY2Q0sVPtwa0jdTrEqCdiBKlYjO0quLKw0qRpM3YwyJKzVE6Oo\nYQ3mvmi410/LWss0z9QmrCnTUlLKbVGTi+A1ZmmI2i0OwauJmKheKKXcO9/KuonBKxGmG7IglVz3\n47Jh0YZltRVrGjFYxgjBNWiJkpQx5HzEW8MQLEglFT3OtnWllopYh62Z4pX226TqMeEMtRUaiVr1\neNEJUcR51dyuW+b5svB8XbmumXWr5Ky62iF4ojecDiPzFHAWckqUer/23OvPlSgrrdqXmUIrFNlU\nJjU4puOJEB2lVK7XjeenK0taGeYB0wxW9FydcsKuhpQ3hjEwHyYe3py42hXbLKltpJS5rM9s6Uqr\nm9L2y4LdnmkE8lZJ6QtbfqKVK94l7NagLWQMuRZKXmllQUrWxig9QcJwA6zWWIYYeP/hDX//H37D\nu3cDTS58+vyRP/7+T3z87pnzc6Um1DcFzZbUq5XFG4OzghVwN6nbve71wzLd3X0InuNhpmwJJxqD\nVktlu15paFSmUmxdp/EaXLDEKYB4WlMfnvkw6xrteMB7R8mZnFZlBdSi2uxW1Wm+e36UnDXGKZeX\nWx8Ayj4glNalLOpk3Frr+cJ0Bac+JzUPdFj3wuQz1uFKvcUOalarUSAq0JweNdlbNgtpTZzP2thN\nh+lGY/65+mVGeX28DPR5tIoAdhrJDj6pFYpOTM0O/ozB+Jc8RrFWN/eKFblHW+xA+OV77WiroZPo\n9LNmjFmxeCBizQBeF/QxRGoU/qE4DlZYY+QwH/mb6cDfxMhs7YvO1lhEXDdX6kZKBoxTAIzzCs5b\n6yc+EOdV3ywftwAAIABJREFU/NCpzLApWL2bxtzrz5T00GXbNaz2lg/plCqMofaJ6w5md2BrjMMH\nizUBSz8ptZeGSi5ZowTOZ6xzfH1+5vRwwlnL5XLm8vwMCJfrlWVdeXp+ZhhGQohgLKU1Sq3U1si5\nMgwDp9NRF8DGquV61Yw7dWxVQ6jWGjkrJbi12rO/NOdOM4v1ueacyZ3KqaYB6pTsvdcTctv7W3sX\n/V73einnPe/fv8fHSDOGWhvbuuCAYC1D8IxB7fv1OOr7ZanUKtqF7jFozlrAYozgsX0bal6h0TmN\nAtju5OusZQyO0Ru8E9ClM1YMDjV+Ml534FYzpq0YSSCVWi3rWknY7lLacKFHOxkoVagNnA0gIzEG\n7KaI4vm88fnLwufPV56eF8pWcAJDcEzDwGEKzHMgjg6oLFuj3g+ee/2ZssYQLUjayJJ6zBNgoNRG\nStoMCUVIqbFtmm9s8Qx+VNqiCyRbMGYh58z1cmWIHu8th+Pc9awraVnYcmJZL5SaMQjRWCYMk1S8\nbCwtIfVCKRdyWTG5IBuYmigGzUQtGl/TpLOJ1PtFkxW7OZ/pACEOgcc3R37z7x4Ypke+vU68/83E\nn/74hc8fF54+F56/wOV5JWXVswejLAttkHZjGe5yrnv9+QrBMs8jzjqmMPB4OHE+LzxdVy6pT0+N\nwcfAOEac13XZsq246IhDIJiA70zPMAzEcSIGTxsqafO41ZLS2pv6usbTeJuiDckt0TpY1UgnHQoa\n4eYTpDRgBby3SBx5tW4zHhsC3jm887pWow9UWuvHG92IKeCdpZbuPxIy0BCpnFshpcT1UhDRWLnp\nL5j+/QKA9VUX6uYWTKcId1pwbRqymwukrIAVo46+3qt18s22rS/Ou8PWDfx2+q2azdA/DAH/yryp\nAHVDaqaRMbZiPDrkcQGJhmka+J2MfGs9EgZ8HHSk33VK1EqDFwqjpeet0unKAcIIVnWEe36sWAs+\nICbqbB0PdoGSdLv3utePSp3Rq2bKdaH7frOmG321plPHV5MSY5SmEXzA90mNNO2ulU7F3Wm5tWsW\n1rTxfDmDwPV6Zb1esAYulwPrunG+XBSsgmasloIYwzCMDOOEcZ5xnJjnTK2VVYSC9otij7wJQU1n\nti2p6Uwtt2aNHtrtZodOd2JVwAr4Pc7D9xgQ1zMpX1yS73WvvUII/OZv/5bD+UycJpxznL9+xUEH\nkxoFY61TR+uUWbakC+8q0B3eFZRaRGx3r1ezFUfr+6PeN/cFrQTwzjBG16eyO11LKb3OVqBhnYCr\nNFepQTveznBzl7/FHkjDNYP1mvuYSqGKIXpROcC1sCY9Js/PC58+X/n85crlcsXUymFwTIeZdw8D\nx9NAjJYqwpITy9ZI5X7s3OunZY3FY6hpRUrBxMjoI3HwNK+GY6U0PZdvidoghJHJWx4PJ07TA8ZY\nyiCsS2JLC5enC8FZpnliGCI+OLa8cT5fNJu16IQo+MjkBo4+cnLKbNhsxbPR6sqWFoQCFlz1t2GI\n6RMjbfOY/WpCt0TTa0yDkgvrsrGlhAuet9+c+BCOvP/Nib/53Vc+fvfEd79/5r/98xP5Xxe256p0\nYAAJSpEUoHk9L9zrXj8qay3HwwE11DFIFrbrypcvz3z3+Qvff33ism2INcRpZJwnvHfknLhczhgn\nYGeGYcA4jQVteyKCsXjv0D1S45Wq6GS0tEotqistKVNSoqZMy4VW9jgn6U7Xmuv9cqu0HvNmjO3g\nVNlIMYTuNeIQVHfbxFCy5oIjSvUN3hCc1+OsVGUjMOAtBG+4Xq7UWgn+xT/i5+oXmbDKnsMKN3rj\nTbOaK5IykjLk3PNKDeItxnuMCoE6JVi6a3CPD+i6VmOd5rn+YPrawFnEWc059QGTA2SHlEQVoVmL\nOAHbwLWbqczRBrBRJ6/eg4XaCrnrAK1Y7ZTvABpo1nWNbcD4QUHpPnJXLiZYh3F92yaAi5BX1bTe\n615/pnajpd1S3HTau5oAS9cddFOyV9Rh/Tu9GYRW5VX2pNDY6U667bxWrstKKY20bZScsAZqp9zn\nUogxIE1ISRcpgjCME4fjiThM1B8A4YIxwjCMHOaZcZqwxpKyRtO0oN1qjefpwFlEA6qtUyCBVf33\n3sBCjQpC0GmtSHgxCbjXvV6V84Fvfvu3nLaN+eGRcZz49N13pOWqEWRmV8+oU7ba7meWTZ2oW1VH\nULFKa9+l0kYEbwCvJkpx0AlLTo0SBqwdGYIjOIs1XRMkuly+ZdoB0PCuMQTTPQ+EXATEYQjUashZ\nG0OawqOGGNL1R00aKVdyWahFm0DXy8r5fGW5bpRUCLbirGEchMPBcpg9xsGSEqWkTv2/A9Z7/bQM\nYCp6bq6F1sA6zziNuMnj54gxwrpqFJnBMM0z0zhwejgxTTMihjnDFgt5zVyfN7xxOoEdRsa4Qmvk\nLSvNXQLRGUwQZn/gGEdOIeC9ZbNClAolkZNKRawxxBB6VNXu36DUO+nHnuzXvG5aYwxsW+LTpy/8\n8Q+f+Oa3b/jw23ecHh+ZTzNTv43HCTt4iJ9x362cn6+ULbPVAS8BJ2rgaf6Cy+m9/m2Wc55vPnyD\n31k8zbBdVj59/5kQo0bInM/k1nCD3scaNcpcl+V2zqeh+b+7pvQGWumeJK37gqi/Sc5FBwq5UEvV\n7zcFrTrgUH16LX3i2mpfC1aMUbdg7zwhRmIcGIaBGAMhqrO+IOql0kmiJWcoBVMzkjfoTvfa7NXW\nkY+O43DizcORlBTgeh+YpvHXCFhfUX9FsyNVmypK/00FNn3RgmjESwyYGBQs7iZL6BcxL5RfjNKE\ncU4Bou2mS3ADrHgHNUAYoAyQRygbplYs0HAa/m5dB5Q78DTg0Hgc1NNJOjVM9bedCtyaniOtR5z/\nIVhtmgF4GzL354zXCB59fl7vd697/aiM2SmHXcvaJ6egR5XU1mNhdmuJXQIutFrJcHPmpalBkUi7\nfTV0O3NnaLWRktJ7BXWCs1aPsy1lnN/UqRS9bymFlBPrtnFdVuIwYqxjK4llXSg5McTIPA8cTzPO\nedKWuu4idTt36TboqrkQWp8Me8LgwAi5ZHLOqna1BmsEYwXrjOZfEv+icP9e//bKGMNweGA8GabT\nA9M8M88jXz9+JC0LpVXWlLFebQSU4CPk3Ei5dLo6uAbW6BSVPgUN3ujCe/CMQwSEHKCJZwgD4zhg\ngZw2tk3dsZvsl4Gee4fgrcEOoRuXZVLWI8zZgIjTbOK9wdPa7RrSAGM9uVTStrFc9bZuqZuTNUKw\nDM4Qo8V7g/VgrDanSsmUkmm13COh7vVnqzWhlqYuuaH1iU8lDpbj44yfIqk2zlc9n2OFGCJxGgnD\ngI8RI5Y2GLZYuLQLy2XhSubdo2U6zuSxMIWRZ7NgcYgNWN9wArOfmPzAwQWC81ydZUCgFkrJCEJ2\nFiNNAWvX0UkTTJ+v7qkTrWv0XGfi5S3z/cevjP/8kTfv3/H2wzeM84FhOjBOwuN7i40RP0WG08D8\nXz/xx3994vOfLmyXlVQmXBtwEtUn5V73+lEF7/mbb3/LMI3EEJFSuZ4veKfmeE0qxsDzulKNUbxQ\ntdlSU2FpV2oq5LUgBaIfqHPrw1FtXpaaqCVRSlb2XFGQumcM96AVZS90iVZrTfO9t0QtalxpHThn\n8MERQyCOI+M0Mw6jTlU1w0mfdym00mgtK+ugFExO2Jww24KUivEBbz2mSztdDEzHI+N87C73PVrO\nKbD9ufqF7GiN0mKlKWDN9XYztY+pDRjvIAYYA2qxaJUixc4AViMZHbV08Gdf3Yx9FXljFRA2ry7C\nvkEdIE5QMrbqNNe2rkcw3QYLSzW2T666EVQ/KTnjFMh22vFtvI55mayGqN9LepUZ26e+TTBWFx5i\njYJVgz7He93rx9U1BPuCtdZKLqUveE13ZtP9Tw8HqyATlCJSXiaPt6OoG1C0PgH11inwa9qxw+yG\nNKpF0AcTUi7qFBw81mu3raVGWhPrlnHLinVOp7it4rxlGNWBNQRPrZWUN7a0kUt+mfiWdtNeYDo7\nv2s2vLfkmtm2ldoa1hmM6wuQanB9cf+XTnr3+rdXpTaelsThMDGeHvgQNcbGO8v3f/wj5+dn6pZx\nfsD6SBNlx+AaNenFX6RijZpnqGJcKVjeC9ZZptEzTQGDUIpqU+dpZhwnWqmcnyHnfPMZEzoNq09c\nnfcMITIKhJBY1o3aHRk13saRnJCSgmnQnFgxhiqwroW0bVwvV9ZlpVQ1lIp9whsDDKPFBg2Pz1WB\neC0FA0TnsOY+IbrXnykRxEAYdcFqbUFcwwWYD5EwDbTrQq2JKhnrAy7o+qhaEGcJdmCSwHbJWAJp\naViTyRs4MzAPBw7TkeOYKcUhEkkUjFSiDwzeMXvHFDyr90zG4JXTS0UoeQesRlk5znYZVo+ckUaR\nvoCXhvLiGkWEy/PKH//1M/PhD8ThQKnCt789MB0npsnh4kQYJ4bDxHwKTAfDMH7h+z8kLl8u5DVT\nasDKfe12r5+W94H3H75lGCLOOUpKOGOoKVHSSt4WUlrJJXHJlZpLj92EmoWlLIgI5/HMuiRlynUf\nn9ZGnAOpmvGqLLMeBdqvNbuJpbFWY5mwlFrYtsS6rsqQk4oPjsF7rA+EGBimkXGaGMcJH6Jq1luh\nlaTmtSKUCqWAVMG1hqkbIXe84yyD90QfwRsYIE4Tp3fvePzwnvn0hhDHW9a51J9vmP71j65dtwpK\n7VszsibMVnTK6iwmethvwUNwr3JVzQ2s0vWiu271ZWr5opPV6Sv7OBaNvVCBvBgLzqtetRVMLQpm\n5QW0iun9OVE6DM1q5pbtsSF2F+D2Trnsk16nzsCq8H81VYabU3It/U93Pa4CBO7h7ff671XXZet5\nyNwSoAxovIUAojRh17vM2H7/W9C5vQFWpZRAFaUKK7Xdakel68utd4QhMsSAQWkfpVZSzhhrCM72\nx1BKihEw1erCAO3UTZNSgZ131NpdV0u50Zox7Sb0l6Y/M/bleLfG4UPAOj1WqhSMFbBCbdpJNNXh\nbMGa+/Fzrx/WlhL/97/8nnfv3/D+3SPzOPDw5g3XyzOfPn3PZV1ZlkyIhengCGMkTpFmPKk01i2R\nUsZII/R93iIYqWAb3jpi0CmrtYZWLdY65nkghsi25d4c6uqX3rxs6P8b4wjBM8bxZqRGbaxtpbUC\ntnQX8AZSkFoxOLwPYB1bUvfHtG3ktFFrxsAtTicESwwGH7VxW6SRStHYgdYbVYND7qYx9/pzZQ3h\n4AhRrysiAl3NFAZLGCxuk+5ID8YpKy1LYyuZQRpjtHjrGWdtWrYmLEvmes3kJFgXmecjx2PVpkzW\nqCeaNoS8MwzecgyBJUQOwROMNo7abhRTRRMiXFM6fV/+Ieoeryw61W2prMZgjaMJnL8u/PN//r3m\nhK8rafsdv/v7d5zePDCPDecO+KANqOPhwMPpT/zz9Inf//MzTx+vpKsg9d4svddPyzrHNB/xrg8W\nrNEm/hA4zgMP88DX6Plq4VoLpQlNLKY0cikKKlPCOsPz+cKyLizbyrIuPDwemcaItz0BpSp12Ige\nG7ZjIunDB2KklZ5nv21cl0WjdJwl2kgIg+YSD+qaH7wO3VJSFk4tCSmpH2+NUoScNR0lIkxWmIzh\nMM2EGBmGiTGMOOvxzjMcZo5v3/Dw/gOHxzfEYQLjbrE7P1e/mOmSEXTknauC1VRVczo4zDTAFDUK\n4wYI6e7C9mWqejNY2s9K/S4iN2BqusgZlBppdrfH3YnXmE4zVoqvcW0fPL3cRQQr3Xij0yZNkx4Q\n3wGwmJfXdmuhN5D6A8oy2B5b04BOe+6AYn9/7oTGe/1cWd8zILvG2hirdGDpLrzS91HZGyVdN73v\nh1Zp9KppbZSmWVvWGmozGqped0tzXQyIyE0bZFqj5cJWdf9t0VGlglX3UmsczhikKfgdfGSMA955\naqmkqmC11tZfB90oqYHRaayz7hZBUIrq84yznfjQO4VOqPSFeskadUO5T4nu9ZNalo3/+H/+X/zu\nd98itfDNu0fdj6saxVyuC8tSGIkMR08YDvgQcWFjTYX89MTlumGkMsWAHTQnT9pLEJN3nnFnAuR8\niwcopccJlHo7pmprO6uY2nSK6nujJliH+EBylkSj1tTjy3fjPp0SYSwGizSNfVqXleV6ZV0XSs6d\nMu/BB3XVDhYbHGIgdZMM2w01nHM4NKf2Xvf6cVkHw4PDBjBGkOZUhjE6TDBYq2wxawWNO7Y0YyhS\nWUsmlo2RgWmIjEfHeAz40bNthfN14XxdmcaBcT5yfGicLyuZBLUpFd8pjd07GLzlEAOHQbfnnWVt\nlVKLNl2tGixJq12n2teHos/dWfNi5if6XJ3xUOD585n/WiuI6r1jGBjCidPbI8MM87DxeLzy4e0T\nb99+xzT9C9b8C9I+8ik/a2PqXvf6UanDrlcTsKp0XI1Tc0yDZx48h8EzeoOTxpbVdbsZR22NlIrK\nSWrmuly5rhcu1zOXyxNv3r7hdJz7seCwqARsN+GUVm/fG0Sdfq2ltsa2bSzLovGHg8qpnHV443Fi\noQhZElvbXuRYNWvCSmtdF6tfvYAPjjANPBwm5sPMeDgwTQeGOBLDQIyRYZ4Zj0emx0fG+YiPg05Y\n+3r05+qXmbCCdrx2uZ11EC0Ej5kijAMMKp5X4LiPkF5PU19NUGFHqt1gqRtkGHObKkEHsq1heu7Q\njS3cwa8xTg2bdmdhEZ241tLjaPTirjGP3QCGPo3FvoKaqq0wO+LtOljjw95e7zE2Ve/76jMyN4Hr\nve71oxJUBB8CIUa8jxhrqaWRWqY2nbxYEeqrib84ezM6M2a38+emX6u19kPL3qJhcq6UXLWDZgwp\nJ13U+k7zRXVNqWQE1V/s2WHSlEAAGodgBVpprGsCOhDuh8bNREqRNs5rrpd3QT3YSiXlglwXcs0a\n6eEbzonqqEzX41qNMqAV1Svd616vKm0b//JP/4yTyuQNtiSoiY/ffeTL91+4nFcaAR8nxvnE4fio\n4e1uwX59IuXK5brgjBC9x9lAcFapUZL1Qu88MY6EoOZh12VhXS8YrHahizoulqYOqNI737U2ShWM\nSQS/QVQjDCuqOGlG929jtTP/omU3qklqlXXZuF7VDfhyud4Aa2sR52G0gRA9PgYFrKXRjDo4eusx\nOGpRN+J73evHZZ3BH0Fso9EwYnEh4KaACQaxetJX/Zt6hRjrlQGEsKSNuF3wUyVM8PBu4uHpyOcv\nZy7ryqenZ947xzDPHFpjrYmyrVSfCVEjNOxgMU69C4bgOU4jp8PMeImkdaGVrNc2ZzH9GoXhpmc1\n3e/Ed7aezi36At2qcZ8xlrIkPv7rR/6Tszgbif6Refwtj28fsZOhykqenxmHdxiZaMXRuuvrti6/\n9Ed1r19j7VPObpKHqLQkOEf0njkGTmPkOASeLJxzYi2JYgPGeZWLmAFZK9u6kIsa5aW08Pz0hcM8\nM48z0zgyRm3iGNuTFepL3qppuj6rOVNSJm0b27oqYBUhh0gJgYKBVMidhVdqJWddK5oeryZNzZxK\nLpjaOITA4A88DAPvTw8cHk5Mx6NqwcdJQeswEqeJMI6EacLH+DJ02Y2Of6b+yoD11bT0FVg1g9KU\nJAYYPCZ4nUbehqC7q/A+qXwF6fZIm9tIVG76oBcKcZ967k7EHcWb1/8YuOlWdw1cayAZkwVKVpv0\nTtkV67Qb3e+rD6W0Smm1T1dFf7+bQHnzAlZroTvMvHo95vb873Wvn1afxHhHCAEfPCKaGbnnbSFq\nMNGaOgZ3UgjNqEfb3vvZAWvrsTbOOQV9dQesepJrTRSwbglAhfGYmyOx5lRC8JoFa42j9UmSOhhD\nazr9kbXTkndTjH2x3kGzteYlhNpoTAIFalHX4FSyGnVHiNYSvMU4g/UOWzVTbzeZute9XlctlfOn\nr5xPB77MA7JeScuF7/7we77/7nu2a2I4zgpWT49Mh5M2MbdMKcK6JpZ1ZfDqa+C9drNza7SieanS\nLIgDcZQC18vG9boiQu+uq6/C3ohRDwbXL0uVbduwxqh+qRurOWsxHWQ24zRix+wLkYa0zJYr1+vG\nddnY1kTalMHgHMTB45xjnEbmw0wcupN27pnHIRJcoJRGrpm03Q3/7vXTMlYwQ6WKZgg764jTQJgH\nTNApUBGhoeujEEfi+ADek0om5SvPlyesSRyHkcf3R77Z3pOB5brx5ekr4xR5+/aB8TTiFkO7JKDi\nh4Hoo9LfvdHGpjMcppE3pyMPl5lUNlLOPTDCa5PnNjCwGOnsoF3HZy0W2ynBKtuyRiOoRBpPn55Y\nl42aDcE+MIRvsO0d4zxSmiW3guMN335oSLaURbh83Uhr4Y98/gU/qXv9asvIba3vrMU4hzhP9ZF5\nnHg4HnhznPnydObzcyGtmWwrcT4wDgOD8RhTqS1rtmraWM5nyrby1TiNfxpnDtPMOAZC2EGrSj9o\nojnBzZDXRFpWSkoq8SoVI8JiHV5A1nRbu9XWbow70yGNdCCctw0pmcFagnOcYuTt4cjb0wPz4Uic\nZ8I0M04zcZwYBgWtLkScjxhcHwDKi3zzZ+qvC1hfDSCl60SN79S/Xa/qndKAXxkU3Saqt/iODkhf\nL0zNvuH+lZ6FuqPZPWtoB5Jwoxy+Bquyg0uAUjHkHreToSTVqjrNZMVHsDoJFtnBqlKBXxss6Wvo\n2xX6dHUH2jvafjVZvQ9Y7/VnyhiDd+qMK02D2WvTiJkmRb3GjMEZd7MQF/Ni7lJFjY1oexyU3LYr\nnZqo+VtK8XgBt6JUXklKM+xgU09aFZFKKx6i0c6esajUtCtlpSrolJ6s6izeuQ5YtUsnCDEGYlRT\ngp1VsWtZG7qAb5u+DuMdLgYcahKlscxqyS73WJt7/aisMQSBuqycP31iezJcz098//EjT0/PNOMY\n933JqS60lMJ1WTlfryzrSimVwflOObc0MdRqKBVMaaxb5XpRndHlknh+VsAKMI5KidobnKXqNcL5\nTlnEUpt0Z996s2dwLuB9pBk1WmqtKOugCDlXahNyKeTSMNbf9EDSGj54Tg8z7z488u79G04PMz54\n1Qrlqh1+GzAY1mWD9UqVOzvhXn+mDOAa0hstPjiGMRKGgFjDlitraaRmESJxfOD9h98yHo5clme+\n++6/8fz0Eakb4Z1lPh349reWVAp/+MOfWLZnLsvI47uZ4eAZHwNx87BBDJ4YVEtnnVfAbOAQA++P\nBz6cjjppEr02QFNfkNeDjNZoxmLU7RJr9bpiuilho5BLoTZDbYUtbcjZUEWwbiRtlj/+6zOHhwfE\nZHBXHt7Am3eR3/7Nb9kuG1++fyanyn/+P/7bL/c53etXW7f1lOk+IsbRnCeEyDjNPJxOvL1e+fz1\niU9fn3FS1RivFiBgHYToGWvEGMPhMDIMgVIKy+XMc244ExiGgWEMDIMnBIu1gBEsBisGqualrteV\nkopKM5vQSiVviUWgONeNcRWryG0w2GVatZLTRk4rQRrzNHCInodp5DRNHIeRIQ6EMOBDJMZIHCJh\niIQYcT70hIs+RNyp+3+h/rqAtb8BUndKrLrHqUDfIu6mkKcnSd5wqLm9cS8b29/MHwBDbnPKfe9g\nz6PcjZGUJ8ILvfjmMOx+MGE1u0GTCLSKpKQjKOs118Z4cH2Ca/YPVy/4O91rX3TfHgMBqQg9ykdE\njZpu0+PXetZ73eulrDWM0SM0atmoTSi1UZtSfL1TupO3qt1WV0TNkBTRyBjZmQ1d32qN6YZmuwlF\n3ycNeK9d6JvBWOuB6Xt8lIh23mpDXFGAGpSOYoO9HXe7lxgiet8+ETbGUIvGdDivtBfnPCDkXMgp\na96f0cdvqKMqpVGLQaoBsUrG7y9OivRon3vd66W8dzweJgKN7fLMUjPn52eu5ws1NwheNT0ps24b\nLmxsKfH0fOZyvpCzmh555zDoxLZRe+SNQBGu1+22r6/rxvVaWLeGsxYfDCHshma2X6cF2wQbPN5o\n07M2oWQ1TAre4fyA8wEwtJLJtZGKpVShNBAsxkemgyeME+2NejBYa4mD53iaeHw88vB4YJxHrHc9\n65jbAqbmig8Lwhnn11/4k7rXr7GkNy2liu7POKWSG0tuwpIbS4HUPN5NhPjAw8M3PLx5ZDiPfPn0\nPeuSKEtlHiaO8yNv3z6yrivn81e+fv3Klp6p7ZFpOvDw9si1HDl/ueKKLteC90Qf8NUiwMF73s8z\n355ObNuKtMY1J3ZWu8F2GvBeurYqrXUR177c6+aDrdBSobWC0DDWcV2+8k//9B/5+vSV//Rf/gvH\nh0dcEIax8bu/e+B/+V//lvfvj7x5c+K3v/tAzttf/8O51/8QtQ8OqO1FYojDuoEwzExz4uF44e3p\nwOfDM+cl0XKjlUROet1w3vLweGIaBk6nA8FZrpcLkgtPy4UtrVwvZ5yzhOiI0eO9wzmLt32t1Ayt\nNErOSM9JtcbirF6XSqnInnVvuJl0tp7qUkTYcmbbNlracNHdKPqHcWAIHt9p9t46glUTQeeUdm+t\nhj/ZHZPxgpP+Emj9KwNW0fia3fSo6+Z2VGpq60DT3IDqS4dMqSC7vFQX3O1lonoDrfsk9rUW9AWs\nGsxL5ukOVm9g0b78TQe2xmguq9gApgvqRY2cbnrTnoXJrpe9dSPs7fENqKkUHlzF+KLvhQivPyKd\nAP+/9o7f6/9H5ZzldJrIuZBKVVoh9Mm+nmA0z0pPNJqLJVRp1GYQsbjeZb7pus2+hZfa8111WquA\nVYQep1OpNGzrx0oTaOp0WkzD2YZzO6Dt1uo3cnJ3OBY1naHTHkWEYK2GZVtPSmoEsG0JsBjnNVOv\nrzKssRhxtAIt96NLVFPequYF3uter8s7x9uHkRgMlkataopkrcdFR7OelBvP5yv+yxO5ambx9bqQ\nc8FZyxAj3julzJetN0abmuYZYU2JVDS2ptRGKkJtFkG1obs+1FiL9R6pDesc3msOXW2C5EKVqt1t\nY8ENdYqWAAATDklEQVRFjJ+xWEgJrMPHyGAh4nBeO/QxBrwPasRmrG43WMbBM4yeYVQJgXEOMN0s\nymLE0HLjuKycHpauM//ff8mP6l6/wmoCadOGpnVgqlFzviJdrtEozapUykbAU4qQtsy2bOQtU9ZC\nLhuXr1fKQ+Z0HHn7cOTLw0xazhgpIIVpDITxkVY2uFbSOVHThnWqH5+MJ1oh+YF348yXw4nLurKV\nTLkKay60ZvSYeQ1XrX1Ro0m7sRh00mNwPjD4gRg9cXQ4D81UUnnm49OF5+2PxO8nnLPEwXJZ32Hs\nM+v6AaRyOHp+87vHX+TzudevvMzL/reDVpq6wxs34EJlGBKnw4EPjw9cLlfWVKjPG5eWacVip4nD\n8cjpcODhcGCeBqRWorXUlKipcGkrJVdKKuQkLB0LeedUtmU1zGkfyVljiCHcDDX32+sBGvuarQq5\nVlKpLFsibQnTGqcxMI4Dx8OkbsXO9hAXgze65rT9edwAqbSbLHR3MTZ7MsXP1F8dsMqW2RGZcf1J\nvqbICq8owJ0xe5uZdhrxDlB3kPqK5qtRNN230dxmrfqrTv0V58D3RfUuG92B72vXXzEY6yGM+v8m\ndEoMaqDk4stUtm/LoLpU0ylf7Dunf6Ff4iyUfjKVHS5IH83vouZ73euH5b3n3dtHDXouan1eS2Xd\nEtuyUUvGUMEo9bZ0+mApQm29i+asBj+j9PjbVLXT7a1V4yS9mJsepWH7pLS7Bos2luyuRe3/2d5N\n0qicpm6SRroOAs22xN40Q60fs851Ta7XSJBa6y0fDGOUBmYM1lvioGZTzjhahiSFvYtlmoVmkJ93\nRr/Xv8Gy1jANjuD360BgaCMVh+RGqoZUGs/nC/gvpFIBQ84Z7x3zONGcJVihiYa0e+9wgW7U16it\nkFPXUXfKcBNDK0LKFe975IdRYzHnNHvVe68NnZ4h6ZzHWIuPEz4e8PFAE08cKzMZPwHWYb1S6A/z\nzPFwYp5mfOjT2O4OqcZ+VQlEXvPJpekCxBlHdBFnPLU2ti2T8l3Deq+fljTISWVPtQnFN9JWcC5h\nnKMVwRpHcHr9WJcr3/3x93z8k+Fy/crTl89ILkipbM9Xrl+fmUNk8J6Hw5H1cL1NXqJ1HMZIPT5w\n9U982S6UfKW6DeeFwXnEGbbYmGviMI4cpol5nVlLpdSNLKjjPT2T3JgXGnCXlO09VzF6bT2dTnz7\nzQe++fYd08FR5Mpl+8xl+cqWFxpXpC2UAmux/PFPF3Bnvnx9w8NpxDnHNN31XPf6ae3N+ibq4KtG\nrtDEINaDi1gfGceJt48PbCmx5UqqX2hLAm84Hma++eYD796+5TCOGGms1zMpBo7zjNRGDIGUiw41\ntsS6JnIuIMoyiv0WnCUEbXA6H3TI8AM2gj5rER14tFrJpbDlzFoqa87U1hiMIYTAPI3M00AcAta5\n29DQvjLZle4CrHKzpg717PezavHwawKs0oS2bfpiLBixIB04WotYwbiO//tUZwedO+yU20TylQ5v\npwajJx8dGu1gkD7NFaRv1zgHzunj7mZMHfHrhNPcaLpiHIQBbIA4a5zNDjCN0Y6ic7pNi4LNWvQx\nS4Uqep9awfk+2eqgetdUyP74BVMyUu+Lhnv9tLyzvHv7qHTZTgXWKdDKxV0U4HWgWFqhSaVK6RQp\nbQ69dJTlBlZvBknO4fboGl4Y9SCvm223iFaNzVDasE53dUEgTahGIw6kA9Na1bVRLdXdzRDDGDVa\nijHeJrn7z621/e+L9pGsGsjEOGCtoeRE2QrGKctB9rSoO2C910+qUdqKE22KWO/wMWCrgaa09FQy\n+Xrp06SED2pQFH2AaaY6Ay3364v0CA8977emDIRSu/bb+FvGqrRKKYZSlJoloo0hY6w2Y8Qotb9W\nRKxOUIeBcToyzg+EeERMxE8wVWjd0dR6T4yB43zgzcMjx+MJ5wKlVtZ1ZV00jL7WRDMN0wkRpVal\n2vtAGI4cpgPGOMor1sa97vXDMkAEijZDa2HbkvoVeN3XHSBGqGXjvH3i6+ePpLyR00ItG1ILrgl1\n3Vi+PrPEAR8jx+lAfnxDLgUa1FyYpshpPvI4H1nDBZMaOa2kslHjgPMOWxymWqy3hOiZx4GtFGqz\nXLfC1lTjLcawG5Ca29qTH8QJOu95ePOGv/uHv+cf/uf/ifloOa/f8eXiWZKC11xX1jWxXWFdoKSV\nP33/ey7XP/HmdODx4YFpnH6RT+dev/4yuxRE6WqqGxVLwyrOsJ4QB06nE6U1llS4bJmKUIfI4zzz\n5uENj4/vCM6yLWdqqxhrGMaIyIEQVNOqWcIbZ3flcl5IKVNzJXesY4zHisf1KELnva77brpVfZ61\nNV1vZo20SbmwFp2yGoEQPFMcmIeBIe5DB3ubpnYU1QFrNyi0nTTbjK4cjdFI0V8dYJVGSlm1cWJ0\nNF469ck78J3yuz/nPop+reuU/d8bWN1/Kt1JeP92v+eOWvvEtYNjrKN1HR5Gu+k90+Omu0N6C854\njd2xtl/0m2aptn1SvFNh6F3tvkPuE9uSERfA+S6aUPqxWNc769K3V/eVz//XH8W9/gcsax0Ph0On\nG2rHK6WMxRKdJ6WZUhI5J9a8Umg40Smn1J1CX9WUyLzksLameaivafXmFhHVGQfsTHrV4VmrBkvB\nBQWhah1Hk/biYNq31nqLZ++kKTBtGOM6AFVRPtCzWT2Hw5FxGmmtkluh1KbW7oMK+VurlNTYcgKr\nJ1wRQQoaHH+ve72q1iqX5UwqQfcVLFtppFrZSiblTK4VykbJiW1Z1II/BqwRYvA0olJpe5bjztBp\nTcPdc+9s6yVLafCN1pUhyjTYG0U7oUgjbTRnrwmEMDAOBw4PjxyPbxjnB3w4YOxIw9FQk8KGKHUY\nIQ4jYRiJccS5QNs2ahW2LbOlrGwHq/EiKSW2NdGacJgM4wjYgPOBSkFa+kU/p3v9OstaxzQekLYC\nGmVWaiZlS2gCxiEFaips68K26bFQakak4hCcNCyC1MJ2Xbg8nzmcTkzThADn85ktZ76ez7gx4MeJ\nxw8fSJdK/n4hucqTvTBFbdRcc2ZJieQyOGEYPCeZlRXHSq0rtYNgsX1gogJvfVGv5GTWGGL0HI8T\nj2+OHB4MbpmQODDWkWY1emrdDGmFdbFcnzPLZWHZ1u7YmhjDHbDe679TovIl9X/VwVYTgxiPWFHW\nZxwIcuDQhDfXjQ+Xq1LurWM0FqohJcimktZELgVjDTEOulRrDWdgCDANod8i1+vCtmVKrZTWoDSV\nJraGE10n3iReIj0rvE9Vk05pS6mk2shVYxMHYxld4BAik49EG1RyBrd4UUQ0XaVWKKXjHtEMcAwN\nHUw0EUwzf4kR/NcFrE2EXLJ2EoxFqr4xGINpytUyr4yXbsDuB1t5MVB60X/Ky799moq0l58ac7My\n7yMmBcG3d8e8gNzdDKrt4FMNoYxz6mRsjf6yVqX6woup0s1dxrxwsVsf+ZQCvr48Zg+H30EyzWJa\nfaV7vde9/p/27uXFsquK4/h37X3OfVZ3bNsQQoyPgX+AII6cCuJER6Kj+B/oTHEuOBLHgkIGgggK\nZurAgSOJZiImqEEIRqJGk67HfZxz9sPB3vd2dWLUvlRu3Vv1+0DRVbeaPpuus+rudfbaaz/KzJiM\nxsSUcS6QQtkDPW5bZpMZZOj6NYvlOazq8xZnpZtoX0pRYkzEWguV8qOrrMm50gxg22BxEwsPj4Hy\nfrMzqCSspYNjizNXfsENw7bJU9zkuubKcxoczm9+KZVfVKPRiOl0Wpp31HO+2rZlNpvhPYQU6Iau\nPH03z2g8pfFt2TM1JPp1BIulNNNqOXBWwiqPiilxtrgoT5J9AzSECKsusFqv6Yd++3B0SGs6W9KO\npsxmcyaTEd6VQ9EtjXCWcb5U/sQYGcJA3w/1KXRJWLG4LZlvvCvdgKE+Zd50M83EFMpT6z6QrcF8\nKQOen9zn7r37zGZP0LQznJ9gfkQ2T0iR1XrNYnlR9nuvexq/wmjwbmC1WvHgwSmnZ6eEONC0DU3b\nEGLgYnHBcrGEbKRozKZ3mUwjQ4TVes1a50jKf+Cd5+TkLmGoZ/Xm0pk+Rl/2imaIfaJfdawWa7oh\nYGalcZjzkCJpSHUiC8MwsFquaCdj5nfu4tuWLgycn71Nfxpx8wn379/niaeeJGfPWfsvhlXHW6ML\n3MSYTiYsuoGLdsXaOpILjEYO5yd43xBDpl/3hO2kubybpQTmUpln5TovtHokWgoMYU0/XNAGR6rJ\nudmAs4BvEhNnjCcNs5OG2UnL4tRx8faK9VnkzQfn5LC45p+UHKJNEWUpw6wNjNJQXneb4zIdNC3k\nCU1IzOdz7t05IfY9F0Mk9gOrsxV9XoDL5LCGGHGNL4niMJBSJMdA2zaMphPunEy5czLj7PyC09ML\nzi9WpVFgiGQ/kEN5jyqzulzOL65HJA6xvDf1Q6jzxpJobvqRNM4x9Q2zZsTEtzTmcbU7d66Lerl+\nkCI5hJKwe+rD3jKTfNiBmHfkeu+25xXWTKjZfK5LxHlI5E1CWY+Dsc3ez5qNAw+3sW4bKOVt52DY\nzFEvN1kqq6vl/6Ekp5c3/ZbC3ksb8tn+U3Xh9tJ1XHmqbbVR08OFKHv0VJr06Fi2DZgur57WJxnl\n6B5XEthtGWQ56uN/PmaQW8mo53eZEUJNNGPEu5bZdErTtKy7lpgDXeoJxHKMDDCkwJDK/rucall6\nLf/YHCGzKQ0upcClkQxQn96AubonYZNwmpVudE1pikTIxOjKCuemI3Etu7Laudjs4dFUZkbblnNX\nc870fdkjOxo1zOdzRuOGEHtWXUM/DKTs8H5EzvUpZSoNlurUf9vlTgmrvFPOmWW3xnqPuQazlpSs\ndAVer4lpqG0IjBQhREeK0PiGtvG4USl5987j6z1cJuy5lNIOgaGPhHpeHZvYaNtt4kp91rmtbKjl\nuWUltJS2p+xwbsxoPGc6u8t0fpe2neKbKa4pCWvf9yX+E/TdQN/3WDZyMhrnWS1XnD445fT8lJQT\nk9mMcYYh9ixXKy4WCywbbTOh60uyjQUWyyXLhSbc8m7OOaaTKb3r6Ps1KWawRK5nfpMSIQSGrqfr\nVoQQGI3HTMYT2qYh9F2phsm1iq4uXoQY8Y3HuxbferphYJV75n3HBxrHfHrC3QB917F4u2fh1oza\nhjCGdQ6sXc9AT7KI90ZTzztetR2tc6UUuE6Ic0y1d2ctP6yT9PJHJsWBvluwXJ5iracPS8LQEVJP\ndgPUhoK+abDpiMnEaH1DDo7ufMniYs3ybLjmn5QcplwT1ocLZak2pSxTfo95K0dm1u2DTTtiNhkz\nH48Icc1iCKwWK1Iu5xF7ekYuMWp9SWBzLqcuDD2td4xbz3g6ZjodYS7TDwPLdUceSqfsHCIuBAbf\n0FjEkbGY69aWUD7qympZeN1uFMPM6rFojpE5Ghy+NvHbrK7mTZa+7eUT6zbIsh1msza3nWcC8N/n\nbrY9XHkPzOxNYAH8c28XvVofYn9j/2jO+ck9XUuOgOLnsSh+ZKvGzmvs9x68SooduTZ673ksih95\nhOLnsbxn/Ow1YQUws9/knD+114tekWMeu9wMx3wPHvPY5WY41nvwWMctN8cx34PHPHa5GY75HjyU\nsWvDpIiIiIiIiBwkJawiIiIiIiJykK4jYf3+NVzzqhzz2OVmOOZ78JjHLjfDsd6DxzpuuTmO+R48\n5rHLzXDM9+BBjH3ve1hFRERERERE/h8qCRYREREREZGDtLeE1cw+Z2Z/MLNXzeyb+7ruLszsWTP7\npZm9bGa/N7Ov1dc/aGa/MLM/1T/vXfdY5XZQ/IjsTvEjsjvFj8juFD9XNLZ9lASbmQf+CHwWeB14\nEfhKzvnl9/3iOzCzp4Gnc84vmdkd4LfAF4GvAm/lnL9Tb7p7OedvXONQ5RZQ/IjsTvEjsjvFj8ju\nFD9XZ18rrJ8GXs05/znn3AM/Br6wp2s/tpzzGznnl+rn58ArwDOUMT9f/9rzlB+iyPtN8SOyO8WP\nyO4UPyK7U/xckX0lrM8Af7n09ev1tYNnZh8DPgn8Gngq5/xG/dbfgKeuaVhyuyh+RHan+BHZneJH\nZHeKnyuipkv/hZmdAD8Fvp5zPrv8vVxqqdViWeQ9KH5Edqf4Edmd4kdkd4cYP/tKWP8KPHvp6w/X\n1w6WmbWUH9aPcs4/qy//vdZ3b+q8/3Fd45NbRfEjsjvFj8juFD8iu1P8XJF9JawvAp8ws4+b2Qj4\nMvDCnq792MzMgB8Ar+Scv3vpWy8Az9XPnwN+vu+xya2k+BHZneJHZHeKH5HdKX6uamz76BIMYGaf\nB74HeOCHOedv7+XCOzCzzwC/An4HpPrytyh13D8BPgK8Bnwp5/zWtQxSbhXFj8juFD8iu1P8iOxO\n8XNFY9tXwioiIiIiIiLyONR0SURERERERA6SElYRERERERE5SEpYRURERERE5CApYRUREREREZGD\npIRVREREREREDpISVhERERERETlISlhFRERERETkIClhFRERERERkYP0b0znO4a71kJdAAAAAElF\nTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1296x576 with 25 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18, 8))\n",
    "columns = 5\n",
    "rows = 5\n",
    "for i in range(1, columns*rows + 1):\n",
    "    fig.add_subplot(rows, columns, i)\n",
    "    plt.imshow(X_train[i], interpolation='lanczos')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "n17dH2LRdc1x"
   },
   "outputs": [],
   "source": [
    "def alexnet(img_input,classes=10):\n",
    "    xnet = Conv2D(96,(11,11),strides=(4,4),padding='same',\n",
    "               activation='relu',kernel_initializer='uniform')(img_input)\n",
    "    xnet = MaxPooling2D(pool_size=(3,3),strides=(2,2),padding='same',data_format=DATA_FORMAT)(xnet)\n",
    "    \n",
    "    xnet = Conv2D(256,(5,5),strides=(1,1),padding='same',\n",
    "               activation='relu',kernel_initializer='uniform')(xnet)\n",
    "    xnet = MaxPooling2D(pool_size=(3,3),strides=(2,2),padding='same',data_format=DATA_FORMAT)(xnet)\n",
    "    \n",
    "    xnet = Conv2D(384,(3,3),strides=(1,1),padding='same',\n",
    "               activation='relu',kernel_initializer='uniform')(xnet) \n",
    "    \n",
    "    xnet = Conv2D(384,(3,3),strides=(1,1),padding='same',\n",
    "               activation='relu',kernel_initializer='uniform')(xnet) \n",
    "    \n",
    "    xnet = Conv2D(256,(3,3),strides=(1,1),padding='same',\n",
    "               activation='relu',kernel_initializer='uniform')(xnet)\n",
    "    xnet = MaxPooling2D(pool_size=(3,3),strides=(2,2),padding='same',data_format=DATA_FORMAT)(xnet)\n",
    "    xnet = Flatten()(xnet)\n",
    "    xnet = Dense(4096,activation='relu')(xnet)\n",
    "    xnet = Dropout(0.25)(xnet)\n",
    "    xnet = Dense(4096,activation='relu')(xnet)\n",
    "    xnet = Dropout(0.25)(xnet)\n",
    "    out_model = Dense(classes, activation='softmax')(xnet)\n",
    "    return out_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 663
    },
    "colab_type": "code",
    "id": "1F5pUhA3dgUa",
    "outputId": "0d7ecc89-f3d0-4d34-e7b4-011e3d858959"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_7\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_7 (InputLayer)         (None, 32, 32, 3)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_50 (Conv2D)           (None, 8, 8, 96)          34944     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_28 (MaxPooling (None, 4, 4, 96)          0         \n",
      "_________________________________________________________________\n",
      "conv2d_51 (Conv2D)           (None, 4, 4, 256)         614656    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_29 (MaxPooling (None, 2, 2, 256)         0         \n",
      "_________________________________________________________________\n",
      "conv2d_52 (Conv2D)           (None, 2, 2, 384)         885120    \n",
      "_________________________________________________________________\n",
      "conv2d_53 (Conv2D)           (None, 2, 2, 384)         1327488   \n",
      "_________________________________________________________________\n",
      "conv2d_54 (Conv2D)           (None, 2, 2, 256)         884992    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_30 (MaxPooling (None, 1, 1, 256)         0         \n",
      "_________________________________________________________________\n",
      "flatten_9 (Flatten)          (None, 256)               0         \n",
      "_________________________________________________________________\n",
      "dense_22 (Dense)             (None, 4096)              1052672   \n",
      "_________________________________________________________________\n",
      "dropout_24 (Dropout)         (None, 4096)              0         \n",
      "_________________________________________________________________\n",
      "dense_23 (Dense)             (None, 4096)              16781312  \n",
      "_________________________________________________________________\n",
      "dropout_25 (Dropout)         (None, 4096)              0         \n",
      "_________________________________________________________________\n",
      "dense_24 (Dense)             (None, 10)                40970     \n",
      "=================================================================\n",
      "Total params: 21,622,154\n",
      "Trainable params: 21,622,154\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "img_input=Input(shape=(32,32,3))\n",
    "output = alexnet(img_input)\n",
    "model=Model(img_input,output)\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "colab_type": "code",
    "id": "s6uoRIeedgp-",
    "outputId": "372cb0f2-a907-4d89-8c11-8ca671cb610f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "782/782 [==============================] - 24s 31ms/step - loss: 1.7050 - acc: 0.3672 - val_loss: 1.4271 - val_acc: 0.4745\n",
      "\n",
      "Epoch 00001: val_acc improved from -inf to 0.47450, saving model to weights.best.hdf5\n",
      "Epoch 2/50\n",
      "782/782 [==============================] - 24s 31ms/step - loss: 1.4002 - acc: 0.4963 - val_loss: 1.2964 - val_acc: 0.5378\n",
      "\n",
      "Epoch 00002: val_acc improved from 0.47450 to 0.53780, saving model to weights.best.hdf5\n",
      "Epoch 3/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 1.2742 - acc: 0.5440 - val_loss: 1.1533 - val_acc: 0.5983\n",
      "\n",
      "Epoch 00003: val_acc improved from 0.53780 to 0.59830, saving model to weights.best.hdf5\n",
      "Epoch 4/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 1.1875 - acc: 0.5768 - val_loss: 1.1104 - val_acc: 0.5992\n",
      "\n",
      "Epoch 00004: val_acc improved from 0.59830 to 0.59920, saving model to weights.best.hdf5\n",
      "Epoch 5/50\n",
      "782/782 [==============================] - 24s 30ms/step - loss: 1.1259 - acc: 0.6011 - val_loss: 1.0793 - val_acc: 0.6226\n",
      "\n",
      "Epoch 00005: val_acc improved from 0.59920 to 0.62260, saving model to weights.best.hdf5\n",
      "Epoch 6/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 1.0749 - acc: 0.6189 - val_loss: 1.0205 - val_acc: 0.6462\n",
      "\n",
      "Epoch 00006: val_acc improved from 0.62260 to 0.64620, saving model to weights.best.hdf5\n",
      "Epoch 7/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 1.0273 - acc: 0.6372 - val_loss: 0.9648 - val_acc: 0.6650\n",
      "\n",
      "Epoch 00007: val_acc improved from 0.64620 to 0.66500, saving model to weights.best.hdf5\n",
      "Epoch 8/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.9845 - acc: 0.6506 - val_loss: 0.9591 - val_acc: 0.6644\n",
      "\n",
      "Epoch 00008: val_acc did not improve from 0.66500\n",
      "Epoch 9/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.9535 - acc: 0.6617 - val_loss: 0.9352 - val_acc: 0.6713\n",
      "\n",
      "Epoch 00009: val_acc improved from 0.66500 to 0.67130, saving model to weights.best.hdf5\n",
      "Epoch 10/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.9188 - acc: 0.6768 - val_loss: 0.9192 - val_acc: 0.6827\n",
      "\n",
      "Epoch 00010: val_acc improved from 0.67130 to 0.68270, saving model to weights.best.hdf5\n",
      "Epoch 11/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.8884 - acc: 0.6865 - val_loss: 0.9056 - val_acc: 0.6843\n",
      "\n",
      "Epoch 00011: val_acc improved from 0.68270 to 0.68430, saving model to weights.best.hdf5\n",
      "Epoch 12/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.8661 - acc: 0.6954 - val_loss: 0.9465 - val_acc: 0.6769\n",
      "\n",
      "Epoch 00012: val_acc did not improve from 0.68430\n",
      "Epoch 13/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.8406 - acc: 0.7042 - val_loss: 0.9127 - val_acc: 0.6916\n",
      "\n",
      "Epoch 00013: val_acc improved from 0.68430 to 0.69160, saving model to weights.best.hdf5\n",
      "Epoch 14/50\n",
      "782/782 [==============================] - 24s 31ms/step - loss: 0.8175 - acc: 0.7113 - val_loss: 0.8625 - val_acc: 0.7010\n",
      "\n",
      "Epoch 00014: val_acc improved from 0.69160 to 0.70100, saving model to weights.best.hdf5\n",
      "Epoch 15/50\n",
      "782/782 [==============================] - 25s 32ms/step - loss: 0.7986 - acc: 0.7175 - val_loss: 0.8658 - val_acc: 0.7019\n",
      "\n",
      "Epoch 00015: val_acc improved from 0.70100 to 0.70190, saving model to weights.best.hdf5\n",
      "Epoch 16/50\n",
      "782/782 [==============================] - 24s 31ms/step - loss: 0.7714 - acc: 0.7271 - val_loss: 0.8781 - val_acc: 0.7105\n",
      "\n",
      "Epoch 00016: val_acc improved from 0.70190 to 0.71050, saving model to weights.best.hdf5\n",
      "Epoch 17/50\n",
      "782/782 [==============================] - 24s 31ms/step - loss: 0.7551 - acc: 0.7338 - val_loss: 0.8707 - val_acc: 0.7036\n",
      "\n",
      "Epoch 00017: val_acc did not improve from 0.71050\n",
      "Epoch 18/50\n",
      "782/782 [==============================] - 25s 31ms/step - loss: 0.7359 - acc: 0.7389 - val_loss: 0.8067 - val_acc: 0.7199\n",
      "\n",
      "Epoch 00018: val_acc improved from 0.71050 to 0.71990, saving model to weights.best.hdf5\n",
      "Epoch 19/50\n",
      "782/782 [==============================] - 24s 31ms/step - loss: 0.7189 - acc: 0.7444 - val_loss: 0.8560 - val_acc: 0.7092\n",
      "\n",
      "Epoch 00019: val_acc did not improve from 0.71990\n",
      "Epoch 20/50\n",
      "782/782 [==============================] - 24s 31ms/step - loss: 0.7029 - acc: 0.7521 - val_loss: 0.8290 - val_acc: 0.7158\n",
      "\n",
      "Epoch 00020: val_acc did not improve from 0.71990\n",
      "Epoch 21/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.6889 - acc: 0.7560 - val_loss: 0.8061 - val_acc: 0.7340\n",
      "\n",
      "Epoch 00021: val_acc improved from 0.71990 to 0.73400, saving model to weights.best.hdf5\n",
      "Epoch 22/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.6702 - acc: 0.7634 - val_loss: 0.8299 - val_acc: 0.7184\n",
      "\n",
      "Epoch 00022: val_acc did not improve from 0.73400\n",
      "Epoch 23/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 0.6496 - acc: 0.7682 - val_loss: 0.8522 - val_acc: 0.7185\n",
      "\n",
      "Epoch 00023: val_acc did not improve from 0.73400\n",
      "Epoch 24/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 0.6396 - acc: 0.7705 - val_loss: 0.8603 - val_acc: 0.7164\n",
      "\n",
      "Epoch 00024: val_acc did not improve from 0.73400\n",
      "Epoch 25/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.6254 - acc: 0.7787 - val_loss: 0.8229 - val_acc: 0.7316\n",
      "\n",
      "Epoch 00025: val_acc did not improve from 0.73400\n",
      "Epoch 26/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.6104 - acc: 0.7829 - val_loss: 0.8143 - val_acc: 0.7289\n",
      "\n",
      "Epoch 00026: val_acc did not improve from 0.73400\n",
      "Epoch 27/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.5910 - acc: 0.7893 - val_loss: 0.8403 - val_acc: 0.7325\n",
      "\n",
      "Epoch 00027: val_acc did not improve from 0.73400\n",
      "Epoch 28/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.5832 - acc: 0.7919 - val_loss: 0.7971 - val_acc: 0.7410\n",
      "\n",
      "Epoch 00028: val_acc improved from 0.73400 to 0.74100, saving model to weights.best.hdf5\n",
      "Epoch 29/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.5676 - acc: 0.7956 - val_loss: 0.8461 - val_acc: 0.7316\n",
      "\n",
      "Epoch 00029: val_acc did not improve from 0.74100\n",
      "Epoch 30/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 0.5531 - acc: 0.8031 - val_loss: 0.8570 - val_acc: 0.7280\n",
      "\n",
      "Epoch 00030: val_acc did not improve from 0.74100\n",
      "Epoch 31/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.5414 - acc: 0.8061 - val_loss: 0.8172 - val_acc: 0.7323\n",
      "\n",
      "Epoch 00031: val_acc did not improve from 0.74100\n",
      "Epoch 32/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.5284 - acc: 0.8094 - val_loss: 0.8854 - val_acc: 0.7255\n",
      "\n",
      "Epoch 00032: val_acc did not improve from 0.74100\n",
      "Epoch 33/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 0.5123 - acc: 0.8180 - val_loss: 0.8374 - val_acc: 0.7372\n",
      "\n",
      "Epoch 00033: val_acc did not improve from 0.74100\n",
      "Epoch 34/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.5024 - acc: 0.8223 - val_loss: 0.8551 - val_acc: 0.7338\n",
      "\n",
      "Epoch 00034: val_acc did not improve from 0.74100\n",
      "Epoch 35/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.4928 - acc: 0.8242 - val_loss: 0.8441 - val_acc: 0.7346\n",
      "\n",
      "Epoch 00035: val_acc did not improve from 0.74100\n",
      "Epoch 36/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 0.4789 - acc: 0.8268 - val_loss: 0.8339 - val_acc: 0.7400\n",
      "\n",
      "Epoch 00036: val_acc did not improve from 0.74100\n",
      "Epoch 37/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.4639 - acc: 0.8311 - val_loss: 0.8390 - val_acc: 0.7393\n",
      "\n",
      "Epoch 00037: val_acc did not improve from 0.74100\n",
      "Epoch 38/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.4615 - acc: 0.8330 - val_loss: 0.8605 - val_acc: 0.7437\n",
      "\n",
      "Epoch 00038: val_acc improved from 0.74100 to 0.74370, saving model to weights.best.hdf5\n",
      "Epoch 39/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.4351 - acc: 0.8423 - val_loss: 0.9250 - val_acc: 0.7347\n",
      "\n",
      "Epoch 00039: val_acc did not improve from 0.74370\n",
      "Epoch 40/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.4298 - acc: 0.8453 - val_loss: 0.8519 - val_acc: 0.7487\n",
      "\n",
      "Epoch 00040: val_acc improved from 0.74370 to 0.74870, saving model to weights.best.hdf5\n",
      "Epoch 41/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.4214 - acc: 0.8485 - val_loss: 0.8969 - val_acc: 0.7414\n",
      "\n",
      "Epoch 00041: val_acc did not improve from 0.74870\n",
      "Epoch 42/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.4132 - acc: 0.8516 - val_loss: 0.9031 - val_acc: 0.7410\n",
      "\n",
      "Epoch 00042: val_acc did not improve from 0.74870\n",
      "Epoch 43/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.4036 - acc: 0.8558 - val_loss: 0.8957 - val_acc: 0.7349\n",
      "\n",
      "Epoch 00043: val_acc did not improve from 0.74870\n",
      "Epoch 44/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 0.3811 - acc: 0.8623 - val_loss: 0.9128 - val_acc: 0.7379\n",
      "\n",
      "Epoch 00044: val_acc did not improve from 0.74870\n",
      "Epoch 45/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.3798 - acc: 0.8637 - val_loss: 0.9046 - val_acc: 0.7422\n",
      "\n",
      "Epoch 00045: val_acc did not improve from 0.74870\n",
      "Epoch 46/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.3689 - acc: 0.8665 - val_loss: 0.9308 - val_acc: 0.7415\n",
      "\n",
      "Epoch 00046: val_acc did not improve from 0.74870\n",
      "Epoch 47/50\n",
      "782/782 [==============================] - 23s 29ms/step - loss: 0.3578 - acc: 0.8708 - val_loss: 0.9420 - val_acc: 0.7369\n",
      "\n",
      "Epoch 00047: val_acc did not improve from 0.74870\n",
      "Epoch 48/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.3505 - acc: 0.8725 - val_loss: 0.9153 - val_acc: 0.7464\n",
      "\n",
      "Epoch 00048: val_acc did not improve from 0.74870\n",
      "Epoch 49/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.3436 - acc: 0.8757 - val_loss: 0.9361 - val_acc: 0.7390\n",
      "\n",
      "Epoch 00049: val_acc did not improve from 0.74870\n",
      "Epoch 50/50\n",
      "782/782 [==============================] - 23s 30ms/step - loss: 0.3331 - acc: 0.8796 - val_loss: 0.9685 - val_acc: 0.7429\n",
      "\n",
      "Epoch 00050: val_acc did not improve from 0.74870\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f680e9f4780>"
      ]
     },
     "execution_count": 69,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgd = optimizers.SGD(lr=.01, momentum=0.8, nesterov=True)\n",
    "model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])\n",
    "\n",
    "# set callback\n",
    "filepath=\"weights.best.hdf5\"\n",
    "checkpoint = ModelCheckpoint(filepath, monitor='val_acc', verbose=1, save_best_only=True, mode='max')\n",
    "callbacks_list = [checkpoint]\n",
    "epochs = 50\n",
    "\n",
    "# set data augmentation\n",
    "datagen = ImageDataGenerator(horizontal_flip=True,\n",
    "                             width_shift_range=0.115,\n",
    "                             height_shift_range=0.115,\n",
    "                             fill_mode='constant',cval=0.)\n",
    "datagen.fit(x_train)\n",
    "\n",
    "# start training\n",
    "model.fit_generator(datagen.flow(x_train, y_train,batch_size=batch_size),\n",
    "                    steps_per_epoch=iterations,\n",
    "                    epochs=epochs,\n",
    "                    callbacks=callbacks_list,\n",
    "                    validation_data=(x_test, y_test))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "mBCAKvU5-a98",
    "outputId": "6ae9536f-2018-4997-856d-7a9da8273f0c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f680e9f4780>"
      ]
     },
     "execution_count": 72,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.history"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 312
    },
    "colab_type": "code",
    "id": "Vueqc_aOdgr2",
    "outputId": "7402a0c1-9635-4f89-d400-fbb0a727d652"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'acc')"
      ]
     },
     "execution_count": 73,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VwGSD8ZikJ7q5zQDPGADH9sGsm6DbzfZziKgJR/6wx7hkos0g37kIDmyzmWOt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\nCJRSKsT9P4+ZYZpb2TMTAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "f, ax = plt.subplots()\n",
    "\n",
    "ax.plot([None] + model.history.history['acc'], 'o-')\n",
    "ax.plot([None] + model.history.history['val_acc'], 'x-')\n",
    "ax.legend(['Train acc', 'Validation acc'], loc = 0)\n",
    "ax.set_title('Training/Validation acc per Epoch')\n",
    "ax.set_xlabel('Epoch')\n",
    "ax.set_ylabel('acc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 312
    },
    "colab_type": "code",
    "id": "hug4oepo-ZZu",
    "outputId": "d9e391d6-ba18-441d-b324-c97244ea98fb"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'acc')"
      ]
     },
     "execution_count": 74,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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i00Dgr+Qk2LEUEm+BnEz48GoG/XYLb/c6RFxsDALExcbwUOu/OHvnVMYv3FTs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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "f, ax = plt.subplots()\n",
    "ax.plot([None] + model.history.history['loss'], 'o-')\n",
    "ax.plot([None] + model.history.history['val_loss'], 'x-')\n",
    "ax.legend(['Train loss', 'Validation loss'], loc = 0)\n",
    "ax.set_title('Training/Validation loss per Epoch')\n",
    "ax.set_xlabel('Epoch')\n",
    "ax.set_ylabel('acc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "3iUKCA59dgzC"
   },
   "outputs": [],
   "source": [
    "predictions = model.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "BwnnELNldg1R"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "import numpy as np\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 307
    },
    "colab_type": "code",
    "id": "U8uG-FT6dg4E",
    "outputId": "e64fe07b-7214-48f9-e3ee-8b2b068a387d"
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "ignored",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-79-cb748a72dafc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mconfusion_matrix\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpredictions\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/sklearn/metrics/classification.py\u001b[0m in \u001b[0;36mconfusion_matrix\u001b[0;34m(y_true, y_pred, labels, sample_weight)\u001b[0m\n\u001b[1;32m    251\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    252\u001b[0m     \"\"\"\n\u001b[0;32m--> 253\u001b[0;31m     \u001b[0my_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_true\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_pred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_check_targets\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_true\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_pred\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    254\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0my_type\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\"binary\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"multiclass\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"%s is not supported\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0my_type\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/sklearn/metrics/classification.py\u001b[0m in \u001b[0;36m_check_targets\u001b[0;34m(y_true, y_pred)\u001b[0m\n\u001b[1;32m     79\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_type\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m         raise ValueError(\"Classification metrics can't handle a mix of {0} \"\n\u001b[0;32m---> 81\u001b[0;31m                          \"and {1} targets\".format(type_true, type_pred))\n\u001b[0m\u001b[1;32m     82\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     83\u001b[0m     \u001b[0;31m# We can't have more than one value on y_type => The set is no more needed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Classification metrics can't handle a mix of multilabel-indicator and multiclass targets"
     ]
    }
   ],
   "source": [
    "confusion_matrix(y_test, np.argmax(predictions,axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "YOWeTFr5dhHM",
    "outputId": "3c3e887f-0871-4f47-80b1-db1414db0e36"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 0., 0., 0., 0., 0., 0., 0., 1., 0.], dtype=float32)"
      ]
     },
     "execution_count": 80,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "colab_type": "code",
    "id": "URp8tLn3dhJG",
    "outputId": "e4f1b7a6-ce7e-491b-dd3d-ca29e3944f28"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 81,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rounded_labels=np.argmax(y_test, axis=1)\n",
    "rounded_labels[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "v1LDR0IVdhGu"
   },
   "outputs": [],
   "source": [
    "cm = confusion_matrix(rounded_labels, np.argmax(predictions,axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 187
    },
    "colab_type": "code",
    "id": "7JHFvY0siMnH",
    "outputId": "ca0c9caa-1a36-4b25-8fc9-ae8d27fbfb52"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[843,  19,  21,   8,  14,   5,  10,  11,  48,  21],\n",
       "       [ 19, 878,   2,   3,   3,   5,   6,   4,  21,  59],\n",
       "       [ 79,  11, 618,  41,  77,  43,  67,  36,  15,  13],\n",
       "       [ 29,  29,  62, 499,  54, 168,  73,  42,  17,  27],\n",
       "       [ 23,   6,  61,  47, 686,  34,  43,  82,  15,   3],\n",
       "       [ 14,  14,  29, 127,  50, 632,  45,  65,  10,  14],\n",
       "       [  8,  10,  47,  41,  33,  23, 815,   7,   5,  11],\n",
       "       [ 17,   5,  14,  24,  35,  60,   9, 817,   7,  12],\n",
       "       [ 53,  45,   6,   9,   2,   3,   2,   2, 860,  18],\n",
       "       [ 38, 117,   4,   6,   3,   4,   7,   6,  34, 781]])"
      ]
     },
     "execution_count": 83,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "dfViacNuic4r"
   },
   "outputs": [],
   "source": [
    "def plot_confusion_matrix(cm):\n",
    "    cm = [row/sum(row)   for row in cm]\n",
    "    fig = plt.figure(figsize=(10, 10))\n",
    "    ax = fig.add_subplot(111)\n",
    "    cax = ax.matshow(cm, cmap=plt.cm.Oranges)\n",
    "    fig.colorbar(cax)\n",
    "    plt.title('Confusion Matrix')\n",
    "    plt.xlabel('Predicted Class IDs')\n",
    "    plt.ylabel('True Class IDs')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 574
    },
    "colab_type": "code",
    "id": "sIuXnX09dgyk",
    "outputId": "55ecba6b-2a52-4345-8d76-ec1599238123"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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fU1GSJKkVVbUOWDdj37kztt81TpsObCRJ6omwqNbYNMKpKEmS1BkObCRJUmc4FSVJUo8s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\nkjrDgY0kSeoMBzaSJKkz/n8HR7crpUuVqgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_confusion_matrix(cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "yFpC99hgdgpf"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "pwg35XEqpHbn"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Wn7LSMEppMkD"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "yy3Ixz5jsxba"
   },
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "s7nQBLhhpS24"
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "import numpy as np\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "0tKlG8lVpYTr"
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
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    "colab_type": "code",
    "id": "yPfh9H87pYWR"
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   "source": []
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   "execution_count": 0,
   "metadata": {
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    "colab_type": "code",
    "id": "lcX7N3mSpYZc"
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   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "F1oYD-1ppYTA"
   },
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "oeR_ahgdtv5Y"
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   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "80YHmnqHiKVD"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "5JLuzCskts16"
   },
   "outputs": [],
   "source": []
  }
 ],
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